{"id":"https://openalex.org/W2091722689","doi":"https://doi.org/10.1109/iscit.2014.7011971","title":"ID3 algorithm based object discrimination for multi object tracking","display_name":"ID3 algorithm based object discrimination for multi object tracking","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2091722689","doi":"https://doi.org/10.1109/iscit.2014.7011971","mag":"2091722689"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2014.7011971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2014.7011971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 14th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085103874","display_name":"Young\u2010Nam Kim","orcid":"https://orcid.org/0000-0002-9745-6551"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young-Nam Kim","raw_affiliation_strings":["Department of Information and Communication Engineering, SungKyunKwan University, Suwon, Korea","Department of Information and Communication Engineering, SungKyunKwan University, 300 Chunchun Jangahn Suwon, 440-746, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, SungKyunKwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Information and Communication Engineering, SungKyunKwan University, 300 Chunchun Jangahn Suwon, 440-746, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071020335","display_name":"Hye-Yeon Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hye-Yeon Yu","raw_affiliation_strings":["Department of Information and Communication Engineering, SungKyunKwan University, Suwon, Korea","Department of Information and Communication Engineering, SungKyunKwan University, 300 Chunchun Jangahn Suwon, 440-746, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, SungKyunKwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Information and Communication Engineering, SungKyunKwan University, 300 Chunchun Jangahn Suwon, 440-746, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040145641","display_name":"Moon-Hyun Kim","orcid":"https://orcid.org/0000-0002-3431-170X"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon-Hyun Kim","raw_affiliation_strings":["Department of Information and Communication Engineering, SungKyunKwan University, Suwon, Korea","Department of Information and Communication Engineering, SungKyunKwan University, 300 Chunchun Jangahn Suwon, 440-746, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, SungKyunKwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Information and Communication Engineering, SungKyunKwan University, 300 Chunchun Jangahn Suwon, 440-746, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085103874"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15146848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"384","issue":null,"first_page":"535","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.8737410306930542},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3 algorithm","score":0.8277237415313721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7561267614364624},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6521793007850647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315860748291016},{"id":"https://openalex.org/keywords/id3","display_name":"ID3","score":0.5726068019866943},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4859801232814789},{"id":"https://openalex.org/keywords/merge-algorithm","display_name":"Merge algorithm","score":0.4683524966239929},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4559198021888733},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4109705090522766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3898758888244629},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38864636421203613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3796227276325226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33872708678245544},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.27349764108657837},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1290425956249237}],"concepts":[{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.8737410306930542},{"id":"https://openalex.org/C183931066","wikidata":"https://www.wikidata.org/wiki/Q1653378","display_name":"ID3 algorithm","level":5,"score":0.8277237415313721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561267614364624},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6521793007850647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315860748291016},{"id":"https://openalex.org/C174599459","wikidata":"https://www.wikidata.org/wiki/Q1054220","display_name":"ID3","level":4,"score":0.5726068019866943},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4859801232814789},{"id":"https://openalex.org/C140086265","wikidata":"https://www.wikidata.org/wiki/Q11341754","display_name":"Merge algorithm","level":4,"score":0.4683524966239929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4559198021888733},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4109705090522766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3898758888244629},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38864636421203613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3796227276325226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33872708678245544},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.27349764108657837},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1290425956249237},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C108094655","wikidata":"https://www.wikidata.org/wiki/Q181593","display_name":"Sorting algorithm","level":3,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit.2014.7011971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2014.7011971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 14th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1533501648","https://openalex.org/W1969483458","https://openalex.org/W1995450389","https://openalex.org/W1995903777","https://openalex.org/W2039228476","https://openalex.org/W2064173729","https://openalex.org/W2074877022","https://openalex.org/W2149706766","https://openalex.org/W4236137412"],"related_works":["https://openalex.org/W2366021451","https://openalex.org/W2592385415","https://openalex.org/W3038416748","https://openalex.org/W2737010471","https://openalex.org/W2350569555","https://openalex.org/W2188355725","https://openalex.org/W2337897523","https://openalex.org/W2169280041","https://openalex.org/W3004909479","https://openalex.org/W3173213304"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,29,46],"assume":[4],"that":[5],"a":[6,10,62,69],"single":[7,11],"pedestrian":[8,70],"is":[9,65],"blob,":[12],"and":[13,24,36,59],"define":[14],"the":[15,34,42,50,55,73],"representative":[16],"properties":[17],"of":[18,26,33,57,72],"blobs":[19],"to":[20,67],"selection":[21],"between":[22],"merge":[23,58],"split":[25],"blobs.":[27],"And":[28],"collect":[30],"attribute":[31],"information":[32],"blob":[35],"make":[37],"decision":[38,51],"tree":[39,52],"by":[40,53],"using":[41],"ID3":[43],"algorithm.":[44],"Next,":[45],"experimented":[47],"for":[48],"dividing":[49],"directing":[54],"status":[56],"split,":[60],"as":[61],"result,":[63],"it":[64],"possible":[66],"generate":[68],"trajectory":[71],"individual.":[74]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}